function model = rdtTrain(feat_train, score_train)

bag_num = 20;

score_n = size(score_train, 2);

clear bag

for i = 1:score_n
    disp( [ num2str(i) ' / ' num2str( score_n) ])
    bag{i} = TreeBagger( bag_num, feat_train, score_train(:, i ),...
                        'Method', 'regression');
end

model = bag;